Di Martino, Giulia (A.A. 2022/2023) Machine learning applied to the telecommunications infrastructure sector in Italy. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 78. [Master's Degree Thesis]

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Abstract/Index

The telecommunication infrastructure sector in Italy. INWIT: company overview. The evolution in the field of wireless coverage telephony systems in Italy. Environmental implications of wireless and mobile network energy consumption. Outliers' detection. Definition of outlier. Outliers' detection methods and algorithms. Main fields of application. Outliers' detection in the telecommunications infrastructure sector. Empirical analysis overview. Data description and methodology. Data cleaning and future engineering. Machine learning model: isolation forest.

References

Bibliografia: pp. 73-78.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Machine learning
Thesis Supervisor:	Italiano, Giuseppe Francesco
Thesis Co-Supervisor:	Sinaimeri, Blerina
Academic Year:	2022/2023
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	22 May 2024 14:07
Last Modified:	22 May 2024 14:07
URI:	https://tesi.luiss.it/id/eprint/38610

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